Informatin Asymmetry is the most evil business

What is information asymmetry?

information asymmetry deals with the study of decisions in transactions where one party has more or better information than the other. This creates an imbalance of power in transactions which can sometimes cause the transactions to go awry, a kind of market failure in the worst case. Examples of this problem are adverse selection,[1] moral hazard, and information monopoly

Most commonly, information asymmetries are studied in the context of principal–agent problems. Information asymmetry causes misinforming and is essential in every communication process

Adverse selection, anti-selection, or negative selection  refers to a market process in which undesired results occur when buyers and sellers have asymmetric information (access to different information); the “bad” products or services are more likely to be selected.

The principal–agent problem or agency dilemma occurs when one person or entity (the “agent“) is able to make decisions that impact, or on behalf of, another person or entity: the “principal“. The dilemma exists because sometimes the agent is motivated to act in his own best interests rather than those of the principal.

Monopolies of knowledge arise when ruling classes maintain their political power through their control of key communications technologies.[3] An example of this occurs in ancient Egypt where a complex writing system conferred a monopoly of knowledge on literate priests and scribes.

 

  1. This especially is true in enterprise software
  2. and online advertising and spam
  3. and commodities across the globe (oil spikes after iraq, oil slumps after heating oil data, climate data, or even releases from strategic reservoirs)
  4. and internet spying which may be for economic espionage or trade negotiations but are justified as looking for terrorists.
  5. and inflation in the developing and poor countries
  6. and lobbying in the developed and rich countries

 

People who enable information asymmetry are corrupted people, misled by their own greed and agent-employees in decisions that run counter to the principles when they founded their corporation.

Do you think information asymmetry is evil? Or do you think we should jump on the bandwagon and play the game. Click those ads, while we share your data with the government!

 

Analysing Google Plus posts using R language #rstats

Here is a short post in retrieving information from the Google+ API using R, and then analysing it.

To create an API key:

  1. Go to the Google Developers Console.
  2. Create or select a project.
  3. In the sidebar on the left, select APIs & auth.
  4. In the displayed list of APIs, find the Google+ API and set its status to ON.
  5. In the sidebar on the left, select Credentials.
  6. Create an API key by clicking Create New Key. Select the appropriate kind of key: Server key  Then clickCreate.

from- https://developers.google.com/+/api/oauth

and the R code

#install.packages("plusser")
library(plusser)
help(plusser)
library(RCurl)
options(RCurlOptions = list(cainfo = system.file("CurlSSL", "cacert.pem", package = "RCurl")))
setAPIkey('AIzaSyBtYqDsAtzp4FOS7FGbrc_n6mD-uJIOvcQ')
myProfile=harvestProfile("+AjayOhri", parseFun = parseProfile)
str(myProfile)
myposts=harvestPage("+AjayOhri", parseFun = parsePost, results = 1, nextToken = NULL, cr = 1)
str(myposts)
head(myposts)
plot(myposts$ti,myposts$nC) #number of comments
plot(myposts$ti,myposts$nP) #number of likes or plus 1
plot(myposts$ti,myposts$nR) #number of reshares

some screenshots and images Screenshot 2014-06-26 13.33.08

Screenshot 2014-06-26 13.32.56

You can also see the Rpubs document here http://rpubs.com/decisionstats2/plusser Now you can do text analysis and sentiment analysis on myposts$msg and do social media analysis on what makes people like what kind of content. 


For better results, use a google plus id (page or person) which has a lot of PUBLIC posts!